TY - JOUR
T1 - Evaluation of carbohydrate concentrations in Phalaenopsis using near-infrared spectroscopy
AU - Chuang, Yung Kun
AU - Yang, I. Chang
AU - Tsai, Chao Yin
AU - Hou, Jiunn Yan
AU - Chang, Yung Huei
AU - Chen, Suming
N1 - Funding Information:
The authors acknowledge financial support from the Ministry of Science and Technology, Taiwan (Grant NSC 101-2313-B-002-049). We are thankful to Prof. Yao-Chien Alex Chang of National Taiwan University for help with the experimental design and chemical analysis. We also thank Chu-Chun Tai, Tzu-Yu Ko, and Chi-Chia Liao for help with the experiments.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Carbohydrate concentrations are important indicators of the internal quality of Phalaenopsis. Inthisstudy, near-infrared (NIR) spectroscopy was used for quantitative analyses of fructose, glucose, sucrose, and starch in Phalaenopsis plants. Both modified partial least-squares regression (MPLSR) and stepwise multiple linear regression (SMLR) methods were used for spectral analysis of 302 Phalaenopsis samples in the full visible NIR wavelength range (400–2498 nm). Calibration models built by MPLSR were better than those built by SMLR. For fructose, the smoothed first derivative MPLSR model provided the best results, with a correlation coefficient of calibration (Rc) of 0.96, standard error of calibration (SEC) of 0.22% dry weight (DW), standard error of validation (SEV) of 0.28% DW, and bias of-0.01% DW. For glucose, the MPLSR model based on the smoothed first derivative spectra was the best (Rc =0.96;SEC= 0.26% DW; SEV = 0.32% DW; and bias = 0.01% DW). The best MPLSR model of sucrose was developed using the smoothed first derivative spectra (Rc = 0.96; SEC = 0.24% DW; SEV = 0.31% DW; bias =-0.03% DW). Regarding starch, the smoothed first derivative MPLSR model showed the best effects (Rc = 0.91; SEC = 0.47% DW; SEV = 0.56% DW; bias =-0.02% DW). Both the MPLSR and SMLR models showed satisfactory predictability, indicating that NIR has the potential to be adopted as an effective method of rapid and accurate inspection of the carbohydrate concentrations of Phalaenopsis plants. This technique could contribute substantially to quality management of Phalaenopsis.
AB - Carbohydrate concentrations are important indicators of the internal quality of Phalaenopsis. Inthisstudy, near-infrared (NIR) spectroscopy was used for quantitative analyses of fructose, glucose, sucrose, and starch in Phalaenopsis plants. Both modified partial least-squares regression (MPLSR) and stepwise multiple linear regression (SMLR) methods were used for spectral analysis of 302 Phalaenopsis samples in the full visible NIR wavelength range (400–2498 nm). Calibration models built by MPLSR were better than those built by SMLR. For fructose, the smoothed first derivative MPLSR model provided the best results, with a correlation coefficient of calibration (Rc) of 0.96, standard error of calibration (SEC) of 0.22% dry weight (DW), standard error of validation (SEV) of 0.28% DW, and bias of-0.01% DW. For glucose, the MPLSR model based on the smoothed first derivative spectra was the best (Rc =0.96;SEC= 0.26% DW; SEV = 0.32% DW; and bias = 0.01% DW). The best MPLSR model of sucrose was developed using the smoothed first derivative spectra (Rc = 0.96; SEC = 0.24% DW; SEV = 0.31% DW; bias =-0.03% DW). Regarding starch, the smoothed first derivative MPLSR model showed the best effects (Rc = 0.91; SEC = 0.47% DW; SEV = 0.56% DW; bias =-0.02% DW). Both the MPLSR and SMLR models showed satisfactory predictability, indicating that NIR has the potential to be adopted as an effective method of rapid and accurate inspection of the carbohydrate concentrations of Phalaenopsis plants. This technique could contribute substantially to quality management of Phalaenopsis.
KW - Fructose
KW - Glucose
KW - Internal quality
KW - Modified partial least-squares regression
KW - Quantitative analysis
KW - Starch
KW - Stepwise multiple linear regression
KW - Sucrose
UR - http://www.scopus.com/inward/record.url?scp=85058503403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058503403&partnerID=8YFLogxK
U2 - 10.21273/JASHS04504-18
DO - 10.21273/JASHS04504-18
M3 - Article
AN - SCOPUS:85058503403
SN - 0003-1062
VL - 143
SP - 494
EP - 502
JO - Journal of the American Society for Horticultural Science
JF - Journal of the American Society for Horticultural Science
IS - 6
ER -